南京财经大学学报2024,Issue(3) :100-110.

大数据发展与企业劳动收入份额——来自大数据综合试验区的证据

Big Data Development and Corporate Labor Income Share:Evidence from the Big Data Comprehensive Pilot Zone

戴艳娟 沈伟鹏
南京财经大学学报2024,Issue(3) :100-110.

大数据发展与企业劳动收入份额——来自大数据综合试验区的证据

Big Data Development and Corporate Labor Income Share:Evidence from the Big Data Comprehensive Pilot Zone

戴艳娟 1沈伟鹏2
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作者信息

  • 1. 广东外语外贸大学经济贸易学院,广东广州 510006
  • 2. 暨南大学产业经济研究院,广东广州 510632
  • 折叠

摘要

在着力构建新发展格局和建设数字中国背景下,如何利用数字技术扎实推进共同富裕成为亟待研究的课题.以2009-2020年A股上市公司为研究对象,将国家级大数据综合试验区试点作为推动大数据发展的准自然实验,运用双重差分模型深入剖析大数据发展对企业劳动收入份额的影响.研究结果表明:(1)国家级大数据综合试验区设立能显著提升企业劳动收入份额,该结论在经过多种稳健性检验后依然成立.(2)降低企业成本、优化人力资本结构和提高公司治理水平是大数据发展提升企业劳动收入份额的潜在路径.(3)国家级大数据综合试验区设立能兼顾"效率"和"公平",扩大普通员工岗位和薪资占比.研究结果为在微观层面厘清数字技术发展如何影响劳动收入份额提供经验证据,为新时期扎实推进共同富裕提供政策启示.

Abstract

Against the background of building both a new approach to development and a digital China,it has become urgent to explore how digital technology can be used to advance social prosperity.This study takes the national big data comprehensive pilot zone as a quasi-natural experiment and uses the difference-in-differences model to analyze the impact of big data development on the labor income share of A-share listed companies from 2009 to 2020.The results show that the establishment of big data pilot areas can significantly increase enterprises'labor income share,and this conclusion remains valid after various robustness tests.Potential channels for this effect include the reduction of enterprise costs,optimization of the human capital structure,and improved corporate governance.Further analysis shows that the establishment of the pilot areas can take efficiency and fairness into account and expand the proportion of ordinary staff positions and salaries.This study provides empirical evidence for this impact at the micro level and simultaneously provides guidance for policymakers in promoting common prosperity in the digital era.

关键词

大数据/劳动收入份额/劳动生产率

Key words

big data/labor income share/labor productivity

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基金项目

国家社会科学基金重点项目(23AZD016)

出版年

2024
南京财经大学学报
南京财经大学

南京财经大学学报

CHSSCD
影响因子:0.284
ISSN:1672-6049
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